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Lecture
Time Series Models: Autoregressive Processes
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Linear Estimation and Prediction: Part 2
Covers the estimation and prediction of random signals in linear systems.
Time Series: Stochastic Properties and Modelling
Explores the stochastic properties and modelling of time series, covering autocovariance, stationarity, spectral density, estimation, forecasting, ARCH models, and multivariate modelling.
